Low level features for image appeal measurement

Pere Obrador; Nathan Moroney

doi:10.1117/12.806140

19 January 2009 Low level features for image appeal measurement

Pere Obrador, Nathan Moroney

Proceedings Volume 7242, Image Quality and System Performance VI; 72420T (2009) https://doi.org/10.1117/12.806140
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

Image appeal may be defined as the interest that a photograph generates when viewed by human observers, incorporating subjective factors on top of the traditional objective quality measures. User studies were conducted in order to identify the right features to use in an image appeal measure; these studies also revealed that a photograph may be appealing even if only a region/area of the photograph is actually appealing. Due to the importance of faces regarding image appeal, a detailed study of a set of face features is also presented, including face size, color and smile detection. Extensive experimentation helped identify a good set of low level features, which are described in depth. These features were optimized using extensive ground truth generated from sets of consumer photos covering all possible appeal levels, by observers with a range of expertise in photography.

Citation Download Citation

Pere Obrador and Nathan Moroney "Low level features for image appeal measurement", Proc. SPIE 7242, Image Quality and System Performance VI, 72420T (19 January 2009); https://doi.org/10.1117/12.806140

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available